mlsanityData to 7 Oct 2026

Transfer learning for music classification and regression tasks

arXiv 1703.09179 ↗First posted 27 Mar 2017cs.CV cs.AI cs.MMcited by 36

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Abstract (arXiv)

In this paper, we present a transfer learning approach for music classification and regression tasks. We propose to use a pre-trained convnet feature, a concatenated feature vector using the activations of feature maps of multiple layers in a trained convolutional network. We show how this convnet feature can serve as general-purpose music representation. In the experiments, a convnet is trained for music tagging and then transferred to other music-related classification and regression tasks. The convnet feature outperforms the baseline MFCC feature in all the considered tasks and several previous approaches that are aggregating MFCCs as well as low- and high-level music features.

Key facts. Cited by 36 papers in the map (data through 7 Oct 2026). First posted on arXiv 27 Mar 2017.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 12; 2022: 8; 2023: 4; 2024: 5; 2025: 6; 2026: 1.

36 papers.

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  1. 2023MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Trainingcited by 175
  2. 2022MuLan: A Joint Embedding of Music Audio and Natural Languagecited by 85
  3. 2022Head2Toe: Utilizing Intermediate Representations for Better Transfer Learningcited by 83
  4. 2021Codified audio language modeling learns useful representations for music information retrievalcited by 61
  5. 2023The Tunnel Effect: Building Data Representations in Deep Neural Networkscited by 34
  6. 2024Foundation Models for Music: A Surveycited by 34
  7. 2021MusCaps: Generating Captions for Music Audiocited by 23
  8. 2022MAP-Music2Vec: A Simple and Effective Baseline for Self-Supervised Music Audio Representation Learningcited by 22
  9. 2021Multi-Task Self-Supervised Pre-Training for Music Classificationcited by 18
  10. 2021Comparison and Analysis of Deep Audio Embeddings for Music Emotion Recognitioncited by 14
  11. 2021Learning music audio representations via weak language supervisioncited by 13
  12. 2021BERT-like Pre-training for Symbolic Piano Music Classification Taskscited by 12
24 more
  1. 2021Adapting TTS models For New Speakers using Transfer Learningcited by 12
  2. 2021Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledgecited by 11
  3. 2022Jointist: Joint Learning for Multi-instrument Transcription and Its Applicationscited by 6
  4. 2024LC-Protonets: Multi-Label Few-Shot Learning for World Music Audio Taggingcited by 6
  5. 2023Jointist: Simultaneous Improvement of Multi-instrument Transcription and Music Source Separation via Joint Trainingcited by 3
  6. 2025Myna: Masking-Based Contrastive Learning of Musical Representationscited by 3
  7. 2025Conformal Prediction Under Generalized Covariate Shift with Posterior Driftcited by 3
  8. 2022Music Instrument Classification Reprogrammedcited by 2
  9. 2025Wasserstein Transfer Learningcited by 2
  10. 2021A Methodology for Exploring Deep Convolutional Features in Relation to Hand-Crafted Features with an Application to Music Audio Modelingcited by 1
  11. 2021MS-SincResNet: Joint learning of 1D and 2D kernels using multi-scale SincNet and ResNet for music genre classificationcited by 1
  12. 2022A Study on Broadcast Networks for Music Genre Classificationcited by 1
  13. 2024VI-PANN: Harnessing Transfer Learning and Uncertainty-Aware Variational Inference for Improved Generalization in Audio Pattern Recognitioncited by 1
  14. 2025Towards Human-in-the-Loop Onset Detection: A Transfer Learning Approach for Maracatucited by 1
  15. 2021Complex Network-Based Approach for Feature Extraction and Classification of Musical Genrescited by 0
  16. 2021Towards noise robust trigger-word detection with contrastive learning pre-task for fast on-boarding of new trigger-wordscited by 0
  17. 2022Bi-Sampling Approach to Classify Music Mood leveraging Raga-Rasa Association in Indian Classical Musiccited by 0
  18. 2022A Correlation-Ratio Transfer Learning and Variational Stein's Paradoxcited by 0
  19. 2023Detection and classification of vocal productions in large scale audio recordingscited by 0
  20. 2024A Dataset and Baselines for Measuring and Predicting the Music Piece Memorabilitycited by 0
  21. 2024CloserMusicDB: A Modern Multipurpose Dataset of High Quality Musiccited by 0
  22. 2025A Comprehensive Survey of Challenges and Opportunities of Few-Shot Learning Across Multiple Domainscited by 0
  23. 2025Transfer Learning for Matrix Completioncited by 0
  24. 2026Empirical Study of Pop and Jazz Mix Ratios for Genre-Adaptive Chord Generationcited by 0